BOBE (Bayesian Optimation for Bayesian Evidence) is a package for Bayesian model selection with expensive likelihood functions, developed for applications to cosmology.
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Updated
Mar 19, 2026 - Python
BOBE (Bayesian Optimation for Bayesian Evidence) is a package for Bayesian model selection with expensive likelihood functions, developed for applications to cosmology.
Regularization, Bayesian Model Selection and k-fold Cross-Validation Selection
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